We present an approach based on multilingual sentence embeddings to automatically
extract parallel sentences from the content of Wikipedia articles in 85 languages, including …

We show that margin-based bitext mining in a multilingual sentence space can be applied to
monolingual corpora of billions of sentences. We are using ten snapshots of a curated …

In this paper, we examine several methods of acquiring Czech data for automated fact-
checking, which is a task commonly modeled as a classification of textual claim veracity wrt …

Parallel corpora are one of the key resources in natural language processing. In spite of
their importance in many multi-lingual applications, no large-scale English-Persian corpus …

Sentiment Analysis is a modern discipline at the crossroads of data mining and natural
language processing. It is concerned with the computational treatment of public moods …

Plagiarism, the unacknowledged reuse of text, has increased in recent years due to the
large amount of texts readily available. For instance, recent studies claim that nowadays a …

Parallel corpora are an extremely useful tool in many natural language processing tasks,
particularly statistical machine translation. Parallel corpora for certain language pairs, such …

Parallel texts corpora are essential resources in linguistics and natural language
processing, especially in translation and multilingual information retrieval. The publicly …

In this article, we address the problem of text passage alignment across interlingual article
pairs in Wikipedia. We develop methods that enable the identification and interlinking of text …

Parallel corpora are essential resources for certain Natural Language Processing tasks such
as Statistical Machine Translation. However, the existing publically available parallel …